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Machine Engineer Jobs in Idaho (NOW HIRING)

Equifax

Machine Learning Engineer

Boise, ID · On-site +1

Machine Learning Engineer Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a ...

Micron

Machine Learning Engineer

Boise, ID · On-site

Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Design and optimize data structures in data management systems (Cloud ...

Indeed

Machine Learning Engineer III

Boise, ID · On-site

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

Indeed

Machine Learning Engineer

Boise, ID

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

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All JobsMachine Engineer JobsMachine Engineer Jobs in Idaho

Machine Engineer information

See Idaho salary details

$29.6K

$121.2K

$182.1K

How much do machine engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine engineer in Idaho is $121,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $145,800.00 per year, depending on experience, location, and employer.

What are the typical collaborative interactions a Machine Engineer has with other departments?

Machine Engineers frequently work alongside cross-functional teams, including production, quality assurance, and maintenance. They often collaborate with design engineers to refine machine specifications and with operators to ensure equipment runs smoothly. Regular communication with procurement and supply chain teams is also common to coordinate the sourcing of machine components and materials. This collaborative approach helps ensure that machinery meets both operational and safety standards while aligning with overall production goals.

What is the difference between Machine Engineer vs Mechanical Engineer?

AspectMachine EngineerMechanical Engineer
Required CredentialsBachelor's in Mechanical, Electrical, or Industrial Engineering; certifications varyBachelor's in Mechanical Engineering; often includes licensure
Work EnvironmentManufacturing plants, industrial facilities, machinery designDesign offices, research labs, manufacturing settings
Industry UsageHeavy machinery, automation, manufacturingAutomotive, aerospace, robotics, product design

Machine Engineers focus on designing, maintaining, and improving machinery and automation systems, often working directly with manufacturing equipment. Mechanical Engineers have a broader scope, working on product design, thermodynamics, and structural analysis across various industries. Both roles require strong engineering fundamentals, but Machine Engineers typically specialize in machinery operation and optimization, while Mechanical Engineers work on a wider range of mechanical systems.

What are the key skills and qualifications needed to thrive as a Machine Engineer, and why are they important?

To thrive as a Machine Engineer, you need a solid background in mechanical engineering principles, problem-solving skills, and typically a bachelor’s degree in mechanical or related engineering fields. Experience with CAD software, PLC programming, and familiarity with industry standards or certifications like Six Sigma are often required. Strong analytical thinking, attention to detail, and effective communication skills set outstanding professionals apart in this field. These competencies are crucial for designing, optimizing, and maintaining machinery to ensure efficient and safe operations in manufacturing environments.

What are Machine Engineers?

Machine Engineers are professionals who design, develop, test, and maintain machinery and mechanical systems used in various industries, such as manufacturing, automotive, and robotics. They apply principles of mechanical engineering, mathematics, and physics to solve problems related to machines and their components. Machine Engineers may work on improving existing equipment, developing new machines, or overseeing the installation and operation of machinery. Their responsibilities often include creating technical drawings, selecting appropriate materials, and ensuring machines operate safely and efficiently.
What are popular job titles related to Machine Engineer jobs in Idaho? For Machine Engineer jobs in Idaho, the most frequently searched job titles are:
What job categories do people searching Machine Engineer jobs in Idaho look for? The top searched job categories for Machine Engineer jobs in Idaho are:
What are popular job titles related to Machine Engineer jobs in ID? For Machine Engineer jobs in ID, the most frequently searched job titles are:
Machine Engineer jobs near you
Infographic showing various Machine Engineer job openings in Idaho as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,158 per year, or $58.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

Equifax

Boise, ID • On-site, Remote

Other

Medical, Retirement, PTO

Posted 7 days ago

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Machine Learning Engineer

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

As a Machine Learning Engineer in the Identity and Fraud business at Equifax, you will solve challenging technology problems and build architecturally sound, high-quality software that moves data through models to make automated decisions. You will achieve success through communicating, collaborating, and developing creative and performant solutions to help Equifax provide certainty in every digital transaction for our customers. You should be a creative, driven, motivated engineer that can think outside the box, has the ability to learn quickly, and can deliver high-quality working solutions that are both maintainable and scalable. You will work with data scientists to develop requirements for novel algorithms, and with operations and other developers to bring data transformation pipelines and machine learning models to practice.

What You'll Do
  • Design platforms and pipelines for researching, developing, and running machine learning models
  • Productionize machine learning models by building performant data transformations, storage, and pipelines
  • Develop and maintain microservices that serve data, model features, and scores to other internal services, as well as external customers
  • Demonstrate effective, respectful, and honest communication when collaborating with colleagues including a cross-functional team consisting of Data Science, Operations, and Engineering
  • Apply development and testing best practices (including unit, service, and integration tests) and demonstrate excellent software craftsmanship to produce maintainable, scalable, and quality solutions.
  • Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment.
  • Deliver on company initiatives and projects prioritized for your team and support long term technical vision.
  • Collaborate with the product team, architects, and others to document features and changes.
  • Identify gaps and iterative improvements to legacy model platforms, frameworks, or governance stacks
  • Adhere to and influence best practices (i.e. security, architecture, platform, etc.)
  • Participate in peer design and code reviews
  • Participate in on-call rotation with other engineers
What Experience You Need
  • BS in Computer Science, Engineering, or equivalent experience.
  • 3+ years of strong software engineering and software architecture background using languages such as Golang, Python, and SQL.
  • 3+ years of experience building RESTful APIs and/or gRPC within a distributed microservice architecture.
  • 2+ years of experience implementing Amazon Web Services (e.g., IAM, Lambda, EKS, Neptune, DynamoDB, RDS).
  • 2+ years of experience using IaC tooling such as Terraform
  • Experience working with machine learning frameworks such as SparkMLlib, Scikit-Learn, MLflow, or TensorFlow.
  • Experience serving ML model inference at scale in low-latency (<30ms) environments.
  • Experience with metrics, logging, and evaluating model performance (e.g., DataDog, evaluation latency, and ROC curves).
What Could Set You Apart
  • Experience with Snowflake
  • Experience with AWS EMR
  • Experience deploying diverse model architectures into production using portable formats like ONNX or MLeap.

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location: USA-ID-Boise

Function: Tech Dev and Client Services

Schedule: Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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